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Deutsch(DE) RT @jun_song: Das neue DeepSeek ist noch verrückter als erwartet. Mit nur 284 Milliarden Parametern schlägt es GLM 5.2 und liegt fast so nah an Opus 4.8 wie mög

DeepSeek's new model outperforms GLM-5.2 and rivals Opus 4.8

By PulseAugur Editorial · [3 sources] ·

New benchmarks indicate that DeepSeek's latest model, with 284 billion parameters, outperforms GLM-5.2 and rivals Opus 4.8 in performance. This new model is significantly smaller and more cost-effective than its predecessors, suggesting a major leap in AI innovation. DeepSeek is preparing to release its "DeepSeek-V4-Pro" model soon, which has shown even more impressive results in internal testing, particularly in full-stack development and coding agent tests. AI

IMPACT DeepSeek's new model demonstrates significant efficiency gains, potentially lowering costs and increasing accessibility for advanced AI capabilities.

RANK_REASON Cluster reports on performance benchmarks of new frontier models from DeepSeek and GLM. [lever_c_demoted from frontier_release: ic=2 ai=1.0]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

DeepSeek's new model outperforms GLM-5.2 and rivals Opus 4.8

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0 / 100
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Significant
Cluster reports on performance benchmarks of new frontier models from DeepSeek and GLM. [lever_c_demoted from frontier_release: ic=2 ai=1.0]
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3 independent sources
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model release, product
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50 days old
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Full methodology in our editorial standards.

COVERAGE [3]

  1. Mastodon — fosstodon.org TIER_1 Deutsch(DE) · [email protected] ·

    RT @__tinygrad__: 245 Single-User-Tokens per second on DeepSeek-V4-Flash-0731, using only 2 of the RTX 6000 Blackwell GPUs! In honor of DeepSe

    RT @__tinygrad__: 245 Single-User-Tokens pro Sekunde auf DeepSeek-V4-Flash-0731, und dabei werden nur 2 der RTX 6000 Blackwell GPUs genutzt! Zu Ehren von DeepSeek starten wir eine 2-GPU-Variante unserer tinybox. Alle Hardwarekomponenten für die Installation von 4 GPUs sind inklus…

  2. Mastodon — mastodon.social TIER_1 Deutsch(DE) · [email protected] ·

    RT @__tinygrad__: The benchmark results are in: GLM-5.2 on a $160k Tinybox Pro V2 Black achieves 119 tokens per second in single operation and 917 tokens

    RT @__tinygrad__: Die Benchmark-Ergebnisse liegen vor: GLM-5.2 auf einer $160k Tinybox Pro V2 Black erreicht 119 Token pro Sekunde im Einzelbetrieb und 917 Token pro Sekunde im Aggregat! Die Inbetriebnahme wurde von (einem anderen) GLM-5.2 innerhalb einer Stunde durchgeführt, als…

  3. Mastodon — mastodon.social TIER_1 Deutsch(DE) · [email protected] ·

    RT @jun_song: The new DeepSeek is even crazier than expected. With only 284 billion parameters, it beats GLM 5.2 and is almost as close to Opus 4.8 as possible

    RT @jun_song: Das neue DeepSeek ist noch verrückter als erwartet. Mit nur 284 Milliarden Parametern schlägt es GLM 5.2 und liegt fast so nah an Opus 4.8 wie möglich. Und das alles bei nur einem Zehntel der Größe und fast 100-mal günstiger. Ich wusste, dass Innovation naht, aber i…

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